iPhone XS
Geekbench AI Score
452
Single Precision Score
2022
Half Precision Score
325
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RebekahMyers |
| Upload Date | August 19 2025 02:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (Q)
|
99% |
172
32.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
170
2.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
871
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
23557
27.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
649
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (Q)
|
94% |
175
13.9 IPS |
|
|
Face Detection (SP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (HP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
218
2.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
17956
138.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
361
2.82 IPS |
|
|
Style Transfer (SP)
|
100% |
1472
1.89 IPS |
|
|
Style Transfer (HP)
|
100% |
1498
1.93 IPS |
|
|
Style Transfer (Q)
|
96% |
1292
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
464
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.7 IPS |
|
|
Text Classification (HP)
|
100% |
297
397.0 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.4 IPS |
|
|
Machine Translation (SP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
98% |
288
4.98 IPS |
